Specialist Diploma in Big Data Analytics with Machine Learning
“Start your #BIG_Career in Big Data Sciences”
This Big Data Specialist Diploma program provides you with a practical understanding of big data analytics and emerging technologies like Machine Learning, Natural Language Processing, IoT and Data Visualization. You will gain the essential skills and confidence required to apply knowledge and understanding of issues surrounding big data analytics in a range of contexts. There is the opportunity to develop a critical understanding of visualization concepts and emerging technologies, as well as to develop and evaluate new or advanced bespoke solutions for making sense of big and/or complex data (Read more about Big Data).
Program Key Learning [ 5 Courses to make you a Big Data domain true expert ]
- BD-01 Big Data Analytics Foundation with Python
- BD-02 Machine Learning with Python- (Data Analysis, Data Visualization, Machine Learning– Apache Spark)
- BD-03 Microsoft Power BI and Big Data Visualization
- BD-04 Introduction to NoSQL Database
- BD-05 Big Data Technologies Infrastructure Design
- Final Project (Big Data Machine Learning Industry implementation use case)
The Big Data Diploma program enables you concentrate on a specific practical area within data sciences, machine learning, natural language processing, data visualization analytics and big data technologies infrastructure design.
Big Data Course Overview
Diploma Big Data Course Objectives
After completing Specialist Diploma in Big Data Analytics students should;
- Develop practical data science skills that can be applied across industries
- Understanding Machine Learning using Python
- Understanding Natural Language Processing and Deep Learning
- Gain a critical understanding of new technologies derived from current research and industry practices;
- Develop practical skills using the latest data visualization tools.
Diploma Big Data (Module-I)
COURSE BD-01 Big Data Analytics Foundation
Understand Big Data Background, History and Evolution of Big Data Analytics, Tools, Infrastructures and Technologies. Case studies on how Big Data Analytics has helped solve some of the more concrete real-world problems with enhanced insights into clients’ big data lakes.
- Introduction to Big Data
- Storing Big Data
- Processing Big Data
- Tools and Techniques to Analyse Big Data
- Developing a Big Data Strategy
- Implementing a Big Data Solution
COURSE BD-02 Machine Learning – with Python Course
Basic Concepts, History and Evolution of Machine Learning for Big Data as a business application domain. Use cases in different business industries for both small and big data. A review of Machine Learning techniques and algorithms and their interpretation from a business perspective. Theoretical and Practical Exposure of Cluster Analysis and Support Vector Machines.
- Python Data Analysis with NumPy and Pandas
- Python Data Visualization – Matplotlib and Pandas
- Math of Machine Learning – Probability, Regression, Vectors, Matrices, Baysian, K Nearest etc
- Machine Learning with Python – Supervised vs Unsupervised Learning and Train / Test
- Data Mining, Big Data with Machine Leaning – Apache Spark
- Neural Networks and Deep Learning.
- Project – Develop Product Recommender System in Python
COURSE BD-03 Microsoft Power BI and Data Visualization Course
Course enable your business transformation to the cloud with an Microsoft BI Analytics and Data Visualization. Covers all-digital solution for BI analysts, data scientists and administrators seeking to develop skills with Data Analytics.
- Learn to use Power BI (Business Intelligence) to create in-depth data analysis, highly visual reports and dashboards that can easily be shared with business users.
- Get an understanding of how the data analysis reports and dashboards can interact with each other and the great level of interactivity the audience can use to drill, filter, and sort the reports.
- Data Visualization
- Industry Use Cases
- Hands-On Labs: Practice with hands-on labs
Diploma Big Data (Module-II)
COURSE BD-04 Introduction to NoSQL Database
NoSQL (Non-SQL) databases are increasing in popularity due to the growth of data as they can store non-relational data on a super large scale, and can solve problems regular databases can’t handle.
This course will teach you technical hands-on knowledge of NoSQL databases. We will Use the MongoDB NoSQL database as an example to learn how to create and replicate databases, load and query data, and other operations.
- What is NoSQL?
- Categories of NoSQL databases
- Installing MongoDB
- Storing data
- Nesting document data
- Specifying search criteria
- Reducing data via reduce function
- Attaching and retrieving images
- Deploying applications
COURSE BD-05: Big Data Technologies Infrastructure Design
This course provides an introduction to big data infrastructure for analytics. The focus is algorithm design and “thinking at scale”: we will cover data mining and machine learning techniques as applied to text, graphs, and relational data. Most of the course will be taught in a combination of MapReduce and Spark, two representative dataflow abstractions for large-scale data analysis, although we will introduce alternative abstractions such as bulk-synchronous parallel and streaming models as well.
- By the end of the course, you will be able to implement basic data mining and machine learning algorithms that can operate at scale.
- Effective algorithm design requires understanding the execution infrastructure and what the algorithms are used for
- Develop deep understand of Big Data technology infrastructure
- Data mining and machine learning techniques
- Large-scale Data Analysis Techniques
- Senior Executives & Consultant drive key transformation projects for organization
- Industry Professionals willing to develop career Big Data Analytics
- IT Manager / Business Analyst / Database Admin
Course Pre-Requisites & Credit Hours
- Course Pre-Requisite – None
- Credit Hours – 160 (Lectures 80 hrs + 80 hrs Exercises & Examples )
- Course Duration 4 Months
- Lecture sessions are illustrated with case studies, practical questions and examples
- Practical exercises include Machine Learning, AI examples and discussions
- Install and Configure you Big Data, Machine Learning platform using industry famous tools
Big Data Analyst /Data Scientist / Big Data Professionals Job Market
- Big Jobs – UAE
- Big Data Jobs – Qatar
- Big Data Jobs – Saudi Arabia
- Big Data Jobs – Canada
- Big Data Jobs – Australia
Useful Download Links
- Download Paython for Windows
- Download R and R Studio (Mac, Linux & Windows)
- Oracle Big Data Lite Virtual Machine
- Oracle Big Data Connectors (for Hadoop and R)
- Oracle NoSQL Database
- Oracle R Enterprise
- Oracle R Distribution (via yum)
- Oracle Big Data Technology Infrastructure
- Microsoft Power BI Desktop
- Microsoft Power BI Report Builder
Job Interview Questions
- Tough Open-Ended Job Interview Questions
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
- Data Sciences Job Interview Must Know Questions
- Python Job Interview Questions and Answers
- Data Sciences Job Interview Questions and Answers
- Machine Learning Job Interview Questions
Flexible Class Options
- Evening Classes | Corporate Group Workshops
- Week End Classes For Professionals – Sunday
- Online Classes – Live Virtual Class (L.V.C)